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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsMany existing methods for exploring the link between neural activity ... with a multisection neural network architecture and training approach." The researchers trained their RNN-based model using a ...
This paper proposes a new type of filter called neural network filter for image denoising. The noisy images are fed as input to the network and the weights are updated with LMS algorithm. Further the ...
In recent times, there is a burst of interest in load forecasting. It is considered as a backbone activity in the electric power industry. Load forecasting influence decision both from an engineering ...
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